Application of a sliding scale of priorities in problems of the management optimization

Modern approaches to management optimization require taking into account a sharp increase in the degree of uncertainty. One possible solution to this problem is to use a sliding scale of priorities. The study shows that the process of choosing a model of the optimized system should include a qualitative assessment of the degree of variability of all parameters of the objective function. Mathematical programming methods can be used for most management tasks. A sliding scale of priorities for the objective function will require the use of the stochastic programming, and for a sliding scale of parameters of the objective function, the dynamic programming is necessary.